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Hindsight bias
Thinking that you could predict unpredictable outcomes all along after seeing the result of the outcome
Confirmation Bias
Trying to exclusively search for information that support your beliefs and stance and ignoring contradictory information
Overconfidence
Thinking that your abilities or judgements are better than they actually are
Peer reviewers
Experts who check and review scientific articles before they get published
Theory
An explanation that tries to explain behaviors and events and is backed by evidence and reasoning
Hypothesis
A testable prediction for an observation
Falsifiable
An adjective given to something that can be experimentally proven false
Operational Definition
A description of how variables are measured
Replication
Repeating a study to see if the results of the original study can be replicated
Case Study
An in-depth investigation of a person or small group
Meta-Analysis
Combing the results of multiple independent studies in the same field to draw an overarching conclusion between all of them
Naturalistic Observation
Studying behavior in its natural setting without any interference
Survey
A questionnaire that collects self-reported behaviors, thoughts, and traits from a group a people
Social desirability bias
Lying to an interviewer or on a survey rather than telling the truth to make yourself look more favorable
Self-report bias
When people give inaccurate information about themselves
Experimentor Bias
Researchers skewing the results of studies and experiments to fit their biases and expectations
Population
The entire group that conclusions are being drawn to
Sample
A subset chosen from the population
Sampling Bias
A sample with selected members that are unrepresentative of the entire population
Random Sample
A sample where all members completely random and had an equal chance of being chosen are
Convenience Sampling
Choosing members for a sample just because they are convenient and easy to reach
Representative Sample
Sample that represents the population
Experimental Methodology
Manipulating variables to see if they influence things to measure cause and effect
Non-Experimental Methodology
Observing and measuring variables without directly manipulating them
Correlation
How things are related to each other
Correlation Coefficient
Measure from 1 to +1 to show the correlation between two things
Variable
Things that can change in an experiment
Scatterplot
Graph using dots to show trends between two variables
Illusory Correlation
Falsely perceiving a relationship between two variables
Directionality Problem
Knowing a relationship exists between two variables but not knowing whether the first variable causes change in the other or vice versa
Third Variable Problem
When a third unknown variable makes it seem like two variables have a relationship
Regression Towards the Mean
Extreme scores dropping to the mean score after measured again
Experiment
Method of seeing whether variables bring change to each other to see cause and effect
Experimental Group
Group in a sample that is exposed to the independent variable
Control Group
Group in a sample that is not exposed to the independent variable
Independent Variable
Variable that is manipulated by experimenters to see its effects on other things
Dependent Variable
Variable that is measured to see how it changes due to the effects of independent variables
Random Assignment
Method of assigning members of a sample into different groups randomly
Single-Blind Procedure
When participants of an experiment are unaware whether they are getting the treatment or not
Double-Blind Procedure
When neither the participants or researchers of an experiment know who is getting the treatment or a placebo
Placebo Effect
When intended results from the person taking the treatment occur even if they use a fake treatment
Confounding Variable
An outside variable that is not the independent variable that can produce effects that can lead to misleading relationships
Experimenter Bias
When researchers let their biases and expectations skew the results of studies
Validity
Whether a study evaluates something that it claims to
Quantitative Research
Research that uses numbers and data
Qualitative Research
Research that uses non-numerical data through descriptions and experiences
Likert Scales
A rating scale used to see the extent of how someone views something
Institutional Review
A committee that reviews whether research experiments are subject to ethical and safety concerns
Informed Consent
Making sure that research participants have enough information about the study they are going to participate in before they actually make a decision to join
Informed Assent
An agreement for minors or people that are unable to legally consent
Protection from Harm
Making sure that research participants are physically and mentally safe
Confidentiality
An obligation to keep research participant's data and information confidential
Research Confederates
People acting as research participants but are actually secretly working for the researchers
Debriefing
Explaining the purpose of a study to research participants after it has ended
Descriptive Statistics
Statistics that are used to describe datasets
Measure of Central Tendency
A number that represents the typical value of a dataset
Median
The middle-most score in a set of data that is ordered to least to greatest
Mean
The average of all scores in a set of data
Mode
The score that appears the highest amount of times in a set of data
Percentile Rank
A specific score that shows the percentage of scores in a group that an individual is at or fell below